A Hybrid Deep Learning‐Based Forecasting Model for the Peak Height of Ionospheric F2 Layer by Ya‐fei Shi, Cheng Yang, Jian Wang, Yu Zheng, Fan‐yi Meng, Leonid F. Chernogor

“…The hybrid model decomposes the hmF2 time data into multiple subsequences through CEEMDAN and reconstructs the subsequences by sample entropy and correlation coefficient into high and low‐frequency sequences, which effectively shortens the calculation time of the model. …”
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Mesothelial cell responses to acute appendicitis or small bowel obstruction reactive ascites: Insights into immunoregulation of abdominal adhesion. by Melissa A Hausburg, Kaysie L Banton, Christopher D Cassidy, Robert M Madayag, Carlos H Palacio, Jason S Williams, Raphael Bar-Or, Rebecca J Ryznar, David Bar-Or

“…PAS and naïve patient rA fluids were clustered into "fiber-GCX" (FIB-GCX) groups: highFIB-highGCX, highFIB-lowGCX, noFIB-highGCX, noFIB-lowGCX, and noFIB-noGCX. …”
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A Cloud-Based Optimized Ensemble Model for Risk Prediction of Diabetic Progression—An Azure Machine Learning Perspective by V. K. Daliya, T. K. Ramesh

“…This study introduces an optimized Light Gradient-Boosting Machine (Light GBM) and K-Nearest Neighbour (KNN) based ensemble algorithm for predicting diabetic progression of Type 2 Diabetes, classifying it as high or low risk, using patient health parameters and serum measurements. …”
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An energy‐efficient dynamic comparator in Carbon Nanotube Field Effect Transistor technology for successive approximation register ADC applications by Hamid Mahmoodian, Mehdi Dolatshahi, S. Mohammadali Zanjani, Mohammad Amin Honarvar

“…Therefore, the proposed comparator can be used in high‐resolution (up to 12 bit) and high‐speed low‐power analogue‐to‐digital converter applications. …”
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Multi-type low-rate DDoS attack detection method based on hybrid deep learning by Lijuan LI, Man LI, Hongjun BI, Huachun ZHOU

“…Low-Rate distributed denial of service (DDoS) attack attacks the vulnerabilities in the adaptive mechanism of network protocols, posing a huge threat to the quality of network services.Low-Rate DDoS attack was characterized by high secrecy, low attack rate, and periodicity.Existing detection methods have the problems of single detection type and low identification accuracy.In order to solve them, a multi-type low-rate DDoS attack detection method based on hybrid deep learning was proposed.Different types of low-rate DDoS attacks and normal traffic in different scenarios under 5G environment were simulated.Traffic was collected at the network entrance and its traffic characteristic information was extracted to obtain multiple types of low-rate DDoS attack data sets.From the perspective of statistical threshold and feature engineering, the characteristics of different types of low-rate DDoS attacks were analyzed respectively, and the effective feature set of 40-dimension low-rate DDoS attacks was obtained.CNN-RF hybrid deep learning algorithm was used for offline training based on the effective feature set, and the performance of this algorithm was compared with LSTM-Light GBM and LSTM-RF algorithms.The CNN-RF detection model was deployed on the gateway to realize the online detection of multiple types of low-rate DDoS attacks, and the performance was evaluated by using the newly defined error interception rate and malicious traffic detection rate indexes.The results show that the proposed method can detect four types of low-rate DDoS attacks online, including Slow Headers attack, Slow Body attack, Slow Read attack and Shrew attack, and the error interception rate reaches 11.03% in 120 s time window.The detection rate of malicious traffic reaches 96.22%.It can be judged by the results that the proposed method can significantly reduce the intensity of low-rate DDoS attack traffic at the network entrance, and can be deployed and applied in the actual environment.…”
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A Novel Insight into Paraptosis-Related Classification and Signature in Lower-Grade Gliomas by Xi-Feng Qian, Jia-Hao Zhang, Yue-Xue Mai, Xin Yin, Yu-Bin Zheng, Zi-Yuan Yu, Guo-Dong Zhu, Xu-Guang Guo

“…Through least absolute shrinkage and selection operator regression analysis and multivariate Cox regression analysis, 10-paraptosis-related gene (PRG) signatures (CDK4, TNK2, DSTYK, CDKN3, CCR4, CASP9, HSPA5, RGR, LPAR1, and PDCD6IP) were identified to separate LGG patients into high- and low-risk subgroups successfully. The Kaplan–Meier analysis and time-dependent receiver-operating characteristic showed that the performances of predicting overall survival (OS) were dramatically high. …”
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Implementing the Uganda lower secondary competence-based curriculum: the equity question by Mercy Chemutai Barasa, Proscovia Namubiru Ssentamu, John Koskey Chang’ach, Susan Jepkoech Kurgat

“…Findings – Data revealed disparities among high and low socio-economic-status schools in their preparedness and capacity to implement the reform, with the consequence of divergent educational opportunities for learners in these contexts. …”
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Hybrid Method for Point Cloud Classification by Abdurrahman Hazer, Remzi Yildirim

“…This dual extraction process ensures minimal loss of both high and low-frequency features. The POL mechanism employs Lambda layers within a linear framework, significantly enhancing the classification speed and accuracy compared to traditional attention mechanisms that suffer from quadratic complexity and non-linear structures. …”
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Exploring the altitude differentiation and influencing factors of PM2.5 and O3: a case study of the Fenwei Plain, China by Zhenglin Yin, Lei Yuan, Yulian Yang, Xiaowei Wu, Zhiyong Chen, Haixiao Long

“…Furthermore, the explanatory power of the PM2.5 dominant factor increased with elevation, while the explanatory power of the O3 dominant factor was relatively high across low, middle, and high altitudes. This study serves as a guide for reducing air pollution in the Fenwei Plain and offers a novel perspective for the study of PM2.5 and O3 influenced by terrain.…”
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Overcoming immunosuppression in cancer: how ketogenic diets boost immune checkpoint blockade by Victoria E. Stefan, Daniela D. Weber, Roland Lang, Barbara Kofler

“…Ketogenic diets (KDs), i.e., high-fat low-carbohydrate diets, have been shown to have antiproliferative and immunomodulatory effects in various preclinical cancer studies. …”
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Strength Prediction Model for Cohesive Soil–Rock Mixture with Rock Content by Yang Sun, Jianyong Xin, Junchao He, Junping Yu, Haibin Ding, Yifan Hu

“…Fault fracture zones, characterized by high weathering, low strength, and a high degree of fragmentation, are common adverse geological phenomena encountered in tunneling projects. …”
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Diversity and Abundance of the Species of Arboreal Mammals in a Tropical Rainforest in Southeast Mexico by J. Vladimir Rojas‐Sánchez, Rosamond Ione Coates, Víctor Sánchez‐Cordero, Mario C. Lavariega, José J. Flores‐Martínez

“…Species richness remained similar between sites, although shifts in abundances and a decreasing gradient in community evenness related to the distance of camera trap station located in each site were noted. We observed a high‐ and low‐diversity dissimilarity between camera trap stations and between zones, respectively. …”
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High lipid diet can keep liver health but cause muscle oxidative stress of triploid rainbow trout treated with acute hypoxic challenge by Changye Li, Buying Han, Guoliang Sun, Haining Tian, Zezhong Wu, Changzhong Li, Yuqiong Meng, Rui Ma

“…The results showed that 1) HL diet significantly increased plasma lactate dehydrogenase, glucose, total cholesterol, high and low density lipoprotein cholesterol levels, but decreased alanine aminotransferase level (P < 0.05). 2) HL diet did not affect hepatic malondialdehyde (MDA) content (P > 0.05), while it significantly increased MDA content in the plasma and muscle (P < 0.05). …”
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ED‐AttConvLSTM: An Ionospheric TEC Map Prediction Model Using Adaptive Weighted Spatiotemporal Features by Liangchao Li, Haijun Liu, Huijun Le, Jing Yuan, Haoran Wang, Yi Chen, Weifeng Shan, Li Ma, Chunjie Cui

“…The results indicate that our model surpasses the comparison models in forecasting both high and low solar activity years, across most months and UT moments in a day. …”
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Performance Evaluation of Bone Glue-Modified Asphalt by Asif Ali, Naveed Ahmad, Muhammad Adeel, Syed Bilal Ahmed Zaidi, Muhammad Sohail Jameel, Farsan Ali Qureshi, Waqas Haroon, Syeda Aamara Asif

“…Asphalt has been modified in the past with different additives to improve its high- or low-temperature properties. In Pakistan, temperature remains high for most of the time of the year; hence, asphalt binders with less susceptibility to higher temperatures are preferred for flexible pavements. …”
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Representative CO2 emissions pathways for China's provinces toward carbon neutrality under the Paris Agreement's 2 °C target by Han-Tang Peng, Da Zhang, Jun-Ting Zhong, Li-Feng Guo, Si-Yue Guo, Jun-Ling Huang, De-Ying Wang, Chang-Hong Miao, Xi-Liang Zhang, Xiao-Ye Zhang

“…However, there are notable regional variations, with some regions in the northwest potentially experiencing higher economic growth due to the availability of high-quality low-carbon resources. We recommend that China enhance provincial-level CO2 emissions accounting by cross-validating bottom‒up and top‒down methods. …”
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Clinical significance of the lactate-to-albumin ratio on prognosis in critically ill patients with acute kidney injury by Xiaoyun Shi, Lei Zhong, Jianhong Lu, Beiping Hu, Qikai Shen, Penghui Gao

“…Kaplan-Meier curves were plotted to compare cumulative survival rates between high and low LAR groups. Subgroup analysis was employed to assess the stability of the results. …”
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Air pollution, temperature and mumps: A time-series study of independent and interaction effects by Haoyue Cao, Rongrong Xu, Xiqian Lu, Wenguo Jiang, Lihua Wang, Miao Yu, Wenjun Wang, Juxiang Yuan

“…Compared to the minimum effect value of 4 ℃, relative risk (RRs) of mumps for high and low temperature (at the 90th and 10th percentiles) were 1.961 (1.106–3.477) and 1.058 (0.976–1.158), respectively. …”
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Assessing the role of Chemokine (C–C motif) ligand 14 in AKI: a European consensus meeting by Jay L. Koyner, Christian Arndt, Jaume Baldira Martinez de Irujo, Sílvia Coelho, Manuel Garcia-Montesinos de la Peña, Luca di Girolamo, Michael Joannidis, Pablo Jorge-Monjas, Christian Koch, Steven Lobaz, Alain Meyer, Marlies Ostermann, Nicoletta Pertica, John R. Prowle, Jon Silversides, Alexander Zarbock, Jorge Echeverri, Kai Harenski, Lui G. Forni

“…The level of concern for discussion on RRT initiation between High and Low, and between Medium and Low CCL14 levels, showed significant differences.Conclusion Real world urinary CCL14 use appears to provide improved care options to patients at risk for persistent severe AKI. …”
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Development and validation of a prognostic and drug sensitivity model for gastric cancer utilizing telomere-related genes by Xiaoxiao Li, Xiaoxuan Wang, Fuxiang Yu, Zhongguo Li, Daxin Chen, Yingxue Qi, Zhongyu Lu, Yaqin Liu, Dongsheng Chen, Yaoqiang Wu

“…The LASSO risk model demonstrated notable variations in immune-cell infiltration and drug sensitivity patterns between high- and low-risk groups. Conclusions: The study establishes suggestive relationships between four TRGs (LRRN1, SNCG, GAMT, and PDE1B) and the prognosis of GC. …”
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